NLM Data Scientist

Ripple Effect • Rockville, MD

31d • Onsite

About The Position

Are you passionate about managing information to drive innovation and impact that support cutting edge biomedical research and high-performance computing environments?
Ripple Effect is seeking a highly skilled Data Scientist with 10+ years of experience to support our client's mission. The Data Scientist will play a key role in supporting the National Library of Medicine (NLM) - a global leader in biomedical research and data science - in its efforts to accelerate biomedical discovery and improve public health through data-powered research. This role will lead advanced data management tasks, including designing reports, performing complex analyses, and ensuring adherence to quality standards. You will oversee documentation and compliance processes while mentoring colleagues on technical and communication practices.

Requirements

• Bachelor's degree in data analytics, mathematics or relevant fields, advanced degree preferred.
• 10+ years of relevant experience, additional education substitutes for experience.
• Education or experience in science, health or research is required.
• Experience with data modeling and design in areas including physical data structures, normalization, data dictionaries and managing data relationships.
• Experience with database management & SQL development including designing and managing relational databases, writing complex SQL queries with inner and outer joins, creating views and reports, and working with platforms such as Oracle, Microsoft SQL Server, and Microsoft Access.
• Experience with data analytics, analysis, and visualization including descriptive, predictive, prescriptive, and diagnostic analytics; identifying patterns and trends and creating reports/dashboards to meet business needs.
• Intermediate experience with IT project management tools such as Jira, Asana, GitLab/GitHub or similar tools.
• Intermediate experience with statistical programming such as Python, R, or similar languages.
• Intermediate experience with office productivity software such as Office 365 including Word, PowerPoint, Excel and Outlook.
• Intermediate experience with data visualization tools such as Tableau, Power BI or similar tools.

Nice To Haves

• Certificate in data analysis, data visualization or relevant programming languages such as R or Python.
• Experience with data governance and use in areas including data use agreements, informed consent, service level agreements, data sharing and regulatory alignment (HIPAA, GDPR, CCPA).
• Experience with data domain areas in areas including business data (e.g., HR, accounting), health IT and EHR data, grants data, economic data, labor and statistics data, or other project‑specific datasets.
• Intermediate experience with master data management (MDM) and data catalog/lineage such as Informatica, Collibra/Alation, Microsoft Purview or similar tools.
• Intermediate experience with database cloud platforms and warehouses such as AWS (Redshift, RDS), Azure (Synapse, SQL MI) or similar.
• Intermediate knowledge of AI tools, including their limitations and risks, and how they can be applied to support project management tasks.

Responsibilities

• Technical Execution: Designs data reports, oversees complex data management tasks, and reviews teamwork for accuracy and completeness. Recommends improved methods for managing datasets, enhancing workflows, and ensuring deliverables follow established standards.
• Communication: Leads communication of data findings and project updates, prepares and reviews formal reports, and validates data requirements with stakeholders to ensure clarity, alignment, and feasibility throughout the project lifecycle.
• Schedule & Timelines: Tracks and reports on data management project progress, anticipates risks to schedules, and supports internal and client facing updates to keep deliverables on track.
• Quality Management: Ensures adherence to data quality protocols, evaluates data for accuracy and completeness, and implements corrective actions when nonconformities are identified.
• Data Analysis: Performs advanced data analyses to address client or project needs, synthesizes complex datasets into actionable insights, and guides colleagues on best practices in interpretation and analytical rigor.
• Regulatory & Contractual Compliance: Reviews adherence to data regulations and contractual requirements, identifies compliance risks, and recommends actions to maintain proper governance.
• Problem Solving & Continuous Improvement: Develops project work plans, addresses complex data integration or workflow issues, and drives continuous improvement efforts to enhance efficiency and data reliability.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level